Senior Director, AIDA, Head of Data Engineering

ROLE SUMMARY

Pfizer’s commitment to creating breakthroughs that change patients’ lives is deeply embedded in our culture as a science-driven and patient-focused company. Central to this commitment is our use of digital technologies, AI, data, and analytics, which drive innovation across our organization.

In this pivotal leadership role, the Senior Director, Data Engineering will define and execute the vision and strategy for Pfizer’s AI, Data & Analytics (AIDA) Data Engineering and Data Excellence portfolio. This leader will be responsible for building and scaling robust, high-performance data platforms and pipelines that power advanced analytics, machine learning, and AI capabilities across the Commercial, R&D, and PGS (Supply Chain) organizations. Their work will be instrumental in enabling real-time insights, accelerating data-driven decision-making, and driving innovation across these critical domains.

The Senior Director will lead a multidisciplinary team of data engineers, architects, and platform specialists, fostering a culture of technical excellence, continuous improvement, and customer-centricity. They will champion modern engineering practices, including CI/CD, data observability, and governance, while ensuring the seamless integration of structured and unstructured data sources. A key focus will be on scaling ML Ops infrastructure to support experimentation, model deployment, and monitoring at enterprise scale.

Collaboration will be essential to the Senior Director’s success. They will work closely with internal stakeholders such as the AI Center of Excellence, Commercial, Supply Chain (PGS), R&D vertical teams, to align on strategic priorities and optimize resource allocation. The role will also involve identifying and cultivating external partnerships to enhance Pfizer’s data engineering capabilities and accelerate innovation.

Through visionary leadership and a deep understanding of data engineering, the Senior Director will empower their team to deliver scalable, secure, and reusable data products & solutions. Their efforts will directly support Pfizer’s mission to transform business operations through data and AI, advancing the company’s commitment to scientific discovery, commercial excellence, and supply chain resilience.

ROLE RESPONSIBILITIES

Leadership

• Provide strategic direction and oversight to the Data Engineering & Excellence team with approximately 20 direct reports, including managers responsible for domain aligned data engineering and AI platform design, analysis, data product management, agile operations, program and domain platform portfolio management.
• Build trusted relationships and strong partnerships with other departments and teams to ensure team optimization for delivering strategic value across customer groups.
• Foster a collaborative and high-performing team environment, empowering the team to excel in their respective areas.
• Mentor and develop team members, promoting professional growth, knowledge sharing, and continuous improvement.
• Foster a culture of innovation and continuous improvement, encouraging adoption of new technologies and methodologies.
• Recognized internally and externally as technical / functional expert in relevant field and array of disciplines
• Leverages expertise across Division or Global Business Unit/Global Operating Unit
• Anticipate, oversee, or influence continuous improvement and innovation in day-to-day operations
• Manage and utilize significant resources outside of direct authority 
• Develops solutions to highly complex or unique problems within a Division or Global Business Unit/Global Operating Unit
• Sponsor and Lead teams that set strategic direction for the Division or Global Business Unit/Global Operating Unit and may impact another

AI, Data & Analytics, Data - Engineering Operational Excellence

• Design and manage cross-team agile portfolio management to ensure responsiveness to changing customer needs and resource alignment.
• Drive cross-domain prioritization, focus, impact, measuring outcomes and continually improving performance.
• Collaborate with partner teams to accelerate delivery and drive reuse of technologies, solutions, models, and components.
• Collaborate on financial stewardship, budgeting, forecasting, and resource optimization.

AI and Data Engineering Platform Delivery Excellence & ML Ops Scalability

• Lead cross-functional teams in the design, development, and management of enterprise-scale AI, data, and analytics platforms across Commercial, R&D, and PGS (Supply Chain), leveraging technologies such as machine learning, NLP, and real-time data streaming.
• Architect and scale ML Ops infrastructure t